Evidence map›Paper›PMID 40782095›Full record

ArticleEpilepsia open2025

A companion to the development of common data elements for Sudden Unexpected Death in Epilepsy (SUDEP).

Sloka S Iyengar, Elaine K O'Loughlin, Lauren Harte-Hargrove, Mary Holmay, Laura S Lubbers, CURE Epilepsy SUDEP Data Standardization Project Steering Committee, Working Group Members

Abstract read
In one paragraph

Article in Epilepsia open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sloka S IyengarCURE Epilepsy, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0003-4790-1466
Elaine K O'LoughlinCURE Epilepsy, Chicago, Illinois, USA.
Lauren Harte-HargroveCURE Epilepsy, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0001-5678-9184
Mary HolmayCURE Epilepsy, Chicago, Illinois, USA.
Laura S LubbersCURE Epilepsy, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-1645-9356
CURE Epilepsy SUDEP Data Standardization Project Steering Committee
Working Group Members

Funding

Biomarkers of SUDEP risk based on brain-heart-lungs network dynamicsR01NS129643 · NINDS · SOUTHERN METHODIST UNIVERSITY · PI GLASSCOCK, ALBERT E, JASSEMIDIS, LEONIDAS D · 2023 to 2025
$1.8M
Development of a Genetic Rabbit Model of Kcnh2-Mediated Epilepsy, SUDEP, & Long QT Syndrome Type 2R61NS133273 · NINDS · UPSTATE MEDICAL UNIVERSITY · PI AUERBACH, DAVID SCOTT · 2023 to 2024
$702k
Development of a Genetic Rabbit Model of Kcnh2-Mediated Epilepsy, SUDEP, & Long QT Syndrome Type 2R33NS133273 · NINDS · UPSTATE MEDICAL UNIVERSITY · PI David Scott Auerbach · 2025 to 2026
$621k
BAND FoundationCURE EpilepsyNINDS NIH HHS R01 NS129643NINDS NIH HHS R33 NS133273NINDS NIH HHS R61 NS133273
6 · The paper itself

Abstract

objectiveSudden unexpected death in epilepsy (SUDEP) is a rare but devastating consequence of epilepsy and is the leading cause of death in people with epilepsy. SUDEP is associated with certain characteristics such as the presence of generalized tonic-clonic seizures, duration of epilepsy, and refractoriness to anti-seizure medications. Despite insights from in vivo models, gaps persist in understanding the biological causes of SUDEP, leading to a lack of preventative tools. Current SUDEP preclinical models and data collection and reporting can vary widely across laboratories, hindering the direct translation of findings to humans.

methodsThe 2020 SUDEP Coalition Summit brought together a team of experts to chart areas of growth and tactics to address these areas. A critical research priority revealed during the summit was the development of data standardization tools to unify SUDEP research efforts. In response, CURE Epilepsy established a Steering Committee to oversee an effort to develop data standardization tools and worked with community members composed of experts in specific domains of SUDEP research to define these tools.

resultsExperts developed common data elements (CDEs) and case report forms (CRFs) to systematize preclinical SUDEP research. An accompanying publication describes the priority core and death-related information CRF, while the current work describes supplemental CRFs that SUDEP researchers can use. Specifically, CDEs related to neurological variables, physiologic measures, therapeutics and pharmacology, neuroimaging, ex vivo electrophysiology, and additional phenotypes related to epilepsy are described. SIGNIFICANCE: Along with the core and death-related CRF, supplemental CRFs can help the unification of SUDEP research by systematizing various endpoints. Adoption of these data standardization tools can also enhance collaboration between teams, hasten the translatability of SUDEP research to the human condition, and ultimately help prevent SUDEP. PLAIN LANGUAGE SUMMARY: Preclinical sudden unexpected death in epilepsy (SUDEP) research holds great promise for addressing this fatal condition; however, lack of data standardization remains an issue. Other fields have shown that the incorporation of common data elements (CDEs) can serve to harmonize data across groups, increase rigor, and improve translatability. An accompanying paper describes "Core" CDEs that could be used by all SUDEP preclinical researchers; the current manuscript describes related, supplemental CDEs applicable to researchers depending on their specific scientific question. These include neurological and physiological measures, therapeutics and pharmacology, neuroimaging, ex vivo electrophysiology, and additional phenotypes related to epilepsy.

Indexed as

Common Data ElementsDeath, SuddenEpilepsySudden Unexpected Death in EpilepsyAnimalsHumansadditional phenotypescase report formcommon data elementelectrophysiologyneuroimagingneurologicalphysiologytherapeuticstranslation

Identifiers

PMID40782095
PMCPMC12514381

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.